Building Effective Agent Architectures with GitHub Copilot
Honest disclaimer: The thoughts here are mine — the prose, structure, and general readability are courtesy of AI. I handed it a brain-dump and it handed back something you'd actually want to read. Felt appropriate, given the topic. GitHub Copilot's customization system separates into four distinct layers: custom agents, instructions, skills, and MCP servers. Each handles a different concern, and they compose together while remaining independently upgradeable. The key insight: separating "who" (agent workflow), "rules" (project standards), and "how" (capabilities) means you can change one without touching the others. Update standards without rewriting agents. Upgrade skills without modifying instructions. Change agent behavior while keeping conventions intact. Everything lives in git. Changes go through pull requests. You can review, approve, and roll back AI behavior like infrastructure. GitHub Copilot Architecture Custom Agents Who orc...